脑肿块样病变的半自动分割和体积测定

Soontharee Koompairojn, A. Petkova, K. Hua, Pichest Metarugcheep
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引用次数: 9

摘要

本文提出了一种磁共振图像序列中脑肿块样病变的半自动分割技术。通过ImageJ的图形用户界面,用户可以交互式地确定病变体积。用户只需要使用LiveWire提供一张MR切片上的肿瘤轮廓,然后系统自动分割并确定病灶的总体积。我们基于Prasat神经学研究所的MR图像序列的实验结果表明,所提出的系统是有效的。
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Semi-Automatic Segmentation and Volume Determination of Brain Mass-Like Lesion
In this paper, a semi-automatic segmentation technique for brain mass-like lesions in magnetic resonance (MR) image sequences is proposed. With the graphical user interface of ImageJ, the user can interactively determine the lesion volume. The user needs to only provide the tumor contour on one MR slice using LiveWire, after which the system automatically segments and determines the gross lesion volume. Our experimental results, based on MR image sequences from Prasat Neurological Institute, indicate that the proposed system is effective.
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